End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.899
+      value: 0.884
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the food101 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6805
-- Accuracy: 0.899
+- Loss: 1.6549
+- Accuracy: 0.884
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7035        | 0.99  | 62   | 2.6015          | 0.805    |
-| 1.8869        | 2.0   | 125  | 1.8663          | 0.873    |
-| 1.6525        | 2.98  | 186  | 1.6805          | 0.899    |
+| 2.6729        | 0.99  | 62   | 2.5581          | 0.806    |
+| 1.8468        | 2.0   | 125  | 1.8219          | 0.873    |
+| 1.5693        | 2.98  | 186  | 1.6549          | 0.884    |
 
 
 ### Framework versions